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1 Ergebnisse
1
Diarrhoea incidence prediction using climate data: Machine ..:
, In:
2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
,
Do, Thanh Duy
;
Mulhall, James
;
Nguyen, Thuan Dinh
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/RIVF55975.2022.10013822
RT T1 <cTitle>2022 RIVF International Conference on Computing and Communication Technologies (RIVF)</cTitle>: T1 <Title>Diarrhoea incidence prediction using climate data: Machine Learning approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10013822&Exemplar=1&LAN=DE A1 Do, Thanh Duy A1 Mulhall, James A1 Nguyen, Thuan Dinh A1 Nguyen, Quang T.M. A1 Phan, Diep A1 Mai, Son T. YR 2022 K1 Meteorological factors K1 Infectious diseases K1 Neural networks K1 Water quality K1 Predictive models K1 Alarm systems K1 Transformers K1 Climate change K1 Diarrhoea prediction K1 Convolutional Neural Network (CNN) K1 Long Short-Term Memory (LSTM) K1 attention mechanism-enhanced LSTM (LSTM-ATT) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/RIVF55975.2022.10013822 DO https://doi.org/10.1109/RIVF55975.2022.10013822 SF ELIB - SuUB Bremen
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